Wodecki Jacek, Krot Pavlo, Wróblewski Adam, Chudy Krzysztof, Zimroz Radosław
Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland.
Materials (Basel). 2023 Feb 12;16(4):1533. doi: 10.3390/ma16041533.
Predictive maintenance is increasingly popular in many branches, as well as in the mining industry; however, there is a lack of spectacular examples of its practice efficiency. Close collaboration between Omya Group and Wroclaw University of Science and Technology allowed investigation of the failure of the inertial vibrator's bearing. The signals of vibration are captured from the sieving screen just before bearing failure and right after repair, when it was visually inspected after replacement. The additional complication was introduced by the loss of stable attachment of the vibrator's shield, which produced great periodical excitation in each place of measurement on the machine. Such anomalies in the signals, in addition to falling pieces of material, made impossible the diagnostics by standard methods. However, the implementation of advanced signal processing techniques such as time-frequency diagrams, envelope spectrum, cyclic spectral coherence, orbits analysis, and phase space plots allowed to undermine defects (pitting on the inner ring). After repair, the amplitudes of vibration from the damaged bearing side were reduced by five times, while sound pressure was only two times lower. The quantitative parameters of vibrations showed significant changes: time series RMS (-68%) median energy of spectrograms (89%), frequencies ratio of cyclic spectral coherence (-85%), and average amplitude of harmonics in envelope spectrum (-80%). The orbits demonstrated changes in inclination angle (16%) and sizes (-48, … -96%), as well as phase space plots sizes (-28, … -67%). Directions of further research are considered.
预测性维护在许多行业以及采矿业中越来越受欢迎;然而,缺乏其实际应用效率的显著案例。奥镁集团与弗罗茨瓦夫科技大学的密切合作使得对惯性振动器轴承故障进行调查成为可能。在轴承故障前和维修后,从筛网上采集振动信号,维修后对更换的轴承进行了目视检查。振动器护罩稳定连接的丢失带来了额外的复杂性,这在机器上的每个测量位置都产生了很大的周期性激励。信号中的此类异常,加上掉落的物料碎片,使得无法通过标准方法进行诊断。然而,实施诸如时频图、包络谱、循环谱相干、轨道分析和相空间图等先进的信号处理技术,得以发现缺陷(内圈点蚀)。维修后,受损轴承一侧的振动幅度降低了五倍,而声压仅降低了两倍。振动的定量参数显示出显著变化:时间序列均方根值(-68%)、频谱图的中位数能量(89%)、循环谱相干的频率比(-85%)以及包络谱中谐波的平均幅度(-80%)。轨道显示出倾斜角度(16%)和尺寸(-48,… -96%)的变化以及相空间图尺寸(-28,… -67%)的变化。还考虑了进一步研究的方向。